84 research outputs found

    Gastrointestinal side effect profile due to the use of alendronate in the treatment of osteoporosis

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    The aim of our study was to evaluate the upper gastrointestinal (GI) tract side effect profile in 759 female patients that had taken alendronate (10 mg/day), for at least 6 months, for the treatment of osteoporosis, in relation to the safety of alendronate and the compliance of patients to its absorption rules. This study was a multicentered retrospective, clinical, non-placebo controlled, study of 759 female subjects carried out at 26 centres in 6 different regions of Turkey. The mean age of our patients was 62.6 +/- 8.6, with 51.2% in the age range 60 to 69 years. 158 patients (20.8%) were considered to have upper GI tract complaints with nausea as the most often encountered symptom. Of the subjects with upper GI tract complaints, 20% reported discontinued drug use, and 30% reported the requirement of an additional drug in order to abolish their complaints. Approximately 537 (71%) of the patients stated they had been given written information about the administration of the drug, and at least 93 patients (12%) and 73 patients (18.4%) acknowledged non compliance with the safety and absorption rules, respectively. In our study, no significant difference was found between the adherence to the safety measures and upper GI tract complaints (p>0.05), but that upper GI tract complaints were higher in patients taking additional medication to alendronate (p<0.05)

    Patient satisfaction with care and interaction with staff in the Acute Cardiac Unit at Landspitali - The National University Hospital of Iceland.

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    Efst á síðunni er hægt að nálgast greinina í heild sinni með því að smella á hlekkinnInngangur: Heilbrigðisþjónusta á Íslandi hefur þótt standa ágætlega í alþjóðlegum samanburði en reynsla sjúklinga af samskiptum við heilbrigðiskerfið hefur ekki mikið verið rannsökuð. Markmið þessarar rannsóknar var að kanna upplifun sjúklinga af þjónustu og samskiptum við heilbrigðisstarfsfólk á Hjartagátt Landspítala. Aðferðir: Spurningalisti byggður á Patient Satisfaction Questionnaire III var sendur til einstaklinga sem komu á Hjartagátt Landspítala frá 1. janúar til 29. febrúar 2012. Spurningalistinn var í formi fullyrðinga og gáfu þátttakendur til kynna hversu sammála eða ósammála þeir voru þeim á skala frá 1-5. Við greiningu gagna var notast við lýsandi tölfræði, Cronbach's alpha við greiningu á innra samræmi kvarðanna og þáttagreiningu. Hópar voru bornir saman með Wilcoxon-Mann-Whitney og Kruskal-Wallis prófum og fylgni metin með fylgnistuðlum Pearson og Spearman. Niðurstöður: Spurningalistinn var sendur til 485 einstaklinga og 275 (57%) svöruðu. Miðgildi (spönn) aldurs þeirra sem svöruðu var 62 (19-95) ár og 132 (48%) voru konur. Innra samræmi var hátt í öllum kvörðum spurningalistans nema einum. Meðaleinkunn úr öllum spurningalistanum var 6,8±1,0 (af 10). Alls voru 91% þeirra sem svöruðu ánægðir með framkomu lækna, 86% með framkomu hjúkrunarfræðinga og annars starfsfólks og 88% ánægðir með þá þjónustu sem þeir fengu. Hins vegar fannst 25% einstaklinga útskýringar á einkennum sínum ekki fullnægjandi og eftirfylgni ábótavant. Ályktanir: Almennt virðast skjólstæðingar Hjartagáttar ánægðir með þjónustuna sem þeir fá. Niðurstöður benda þó til að bæta megi þjónustu á sumum sviðum, einkum hvað varðar upplýsingagjöf við útskrift og eftirfylgni.Introduction: The Icelandic health care system ranks favourably in international comparison but patients' experience of interaction with the health service has not been well studied. The goal of this study was to examine the satisfaction of patients admitted to the Acute Cardiac Unit (ACU) at Landspitali - The National University Hospital of Iceland. Methods: A questionnaire based on the Patient Satisfaction Questionnaire III was mailed to patients admitted to the ACU between 1 January and 29 February 2012. Questions were presented as statements and participants asked to respond how strongly on a scale from 1 to 5 they agreed or disagreed with each statement. Data analysis was performed using descriptive statistics, Cronbach´s alpha for internal consistency of scales and principal components analysis, Wilcoxon-Mann-Whitney and Kruskal-Wallis tests for comparison of groups and Pearson and Spearman correlation coefficients for correlation between variables. Results: The questionnaire was mailed to 485 individuals of whom 275 (57%) responded. The median age of the participants was 62 (range, 19-95) years and 132 (48%) were women. Internal consistency of the scales was mostly high (Cronbach's alpha 0.62-0.91) and principal components analysis revealed one main factor. The mean score of the questionnaire was 6.8 ±1.0 and 91%, and 86% of the participants were pleased with their interaction with physicians and nurses, respectively. Similarly, 88% were pleased with the care they recieved but 25% felt they received insufficient explanations of their symptoms or that follow-up care was lacking. Conclusion: Patients of the ACU generally appear to be satisfied with their care. However, our results suggest that improvement is needed in several areas, including information provided at discharge and follow-up care. Key words: Health service, acute cardiac unit, heart disease, quality of care, PSQ-III questionnaire, survey

    Wavelet shrinkage using adaptive structured sparsity constraints

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    Structured sparsity approaches have recently received much attention in the statistics, machine learning, and signal processing communities. A common strategy is to exploit or assume prior information about structural dependencies inherent in the data; the solution is encouraged to behave as such by the inclusion of an appropriate regularisation term which enforces structured sparsity constraints over sub-groups of data. An important variant of this idea considers the tree-like dependency structures often apparent in wavelet decompositions. However, both the constituent groups and their associated weights in the regularisation term are typically defined a priori. We here introduce an adaptive wavelet denoising framework whereby a sparsity-inducing regulariser is modified based on information extracted from the signal itself. In particular, we use the same wavelet decomposition to detect the location of salient features in the signal, such as jumps or sharp bumps. Given these locations, the weights in the regulariser associated to the groups of coefficients that cover these time locations are modified in order to favour retention of those coefficients. Denoising experiments show that, not only does the adaptive method preserve the salient features better than the non-adaptive constraints, but it also delivers significantly better shrinkage over the signal as a whole
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